Machine Learning Engineer at SYNCPILOT developing AI functionalities in a Microservice architecture. Collaborating with experts and integrating ML/AI into existing systems.
About the role
- Senior Machine Learning Engineer at LPL Financial developing machine learning solutions. Leading end-to-end model lifecycle and collaborating with cross-functional teams to enhance client experiences.
Responsibilities
- Lead the full ML lifecycle : Drive end-to-end development of machine learning models, including problem definition, data exploration, training, evaluation, and production deployment.
- Collaborate and translate business needs : Work closely with product managers, data scientists, and engineering teams to deliver robust, scalable ML solutions aligned with business requirements.
- Design scalable ML pipelines : Implement pipelines with strong data quality, feature engineering, model versioning, and CI/CD practices for seamless deployment.
- Ensure performance and reliability : Select appropriate algorithms/frameworks, validate models through A/B testing, and maintain production-grade systems with monitoring and alerting for data drift.
- Promote innovation and compliance : Stay current with ML advancements, mentor team members, and uphold best practices in security, data privacy, and regulatory compliance.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field
- 3-5+ years of professional experience in machine learning engineering, with a strong portfolio of successfully deployed ML models in production
- Proficiency in programming languages such as Python (essential) and experience with relevant ML libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)
- Solid understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning techniques
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and their machine learning services (e.g., SageMaker, Azure ML, Google AI Platform)
Benefits
- 401K matching
- health benefits
- employee stock options
- paid time off
- volunteer time off
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